Presentation 2016-05-16
[Poster Presentation] Approximated Theoretical Analysis for Spectrum Sensing Based on Maximum Cyclic Autocorrelation Selection
Daiki Cho, Shusuke Narieda, Kenta Umebayashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Maximum cyclic autocorrelation selection (MCAS) is one of spectrum sensing technique based on cyclostationarity detection, and we have been presented sensing techniques extended MCAS for multiple receive antennas. MCAS utilizes the cyclic autocorrelation functions (CAFs) at some cyclic frequencies (peak and non-peak) and compares some test statistics which are computed by these CAFs. Moreover, the probability of false alarm ($P_mathrm{FA}$) can be controlled by the number of non-peak CAFs which is used signal detection. Therefore, MCAS does not need to use a threshold which is used many of spectrum sensing techniques, however, it is difficult to theoretical analysis and has not been examined. In this presentation, ``consequent threshold'' derived from desired $P_mathrm{FA}$ and probability density function is presented, and we attempt to approximate theoretical analysis.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) cognitive radio networksspectrum sensingcyclostationarity detectiontheoretical analysis
Paper # SR2016-10,SRW2016-10
Date of Issue 2016-05-09 (SR, SRW)

Conference Information
Committee SR / SRW
Conference Date 2016/5/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hotel Lasaretti, Oulu, Finland
Topics (in Japanese) (See Japanese page)
Topics (in English) SmartCom2016
Chair Takeo Fujii(Univ. of Electro-Comm.) / Hiroshi Harada(Kyoto Univ.)
Vice Chair Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC) / Masafumi Kato(Fujitsu) / Satoshi Denno(Okayama Univ.)
Secretary Kenta Umebayashi(Shinshu Univ.) / Masayuki Ariyoshi(NICT) / Masafumi Kato(NTT) / Satoshi Denno(NICT)
Assistant Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Wen Yun(Fujitsu) / Keiichi Mizutani(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Approximated Theoretical Analysis for Spectrum Sensing Based on Maximum Cyclic Autocorrelation Selection
Sub Title (in English)
Keyword(1) cognitive radio networksspectrum sensingcyclostationarity detectiontheoretical analysis
1st Author's Name Daiki Cho
1st Author's Affiliation National Institute of Technology, Akashi College, Japan(NIT, Akashi College)
2nd Author's Name Shusuke Narieda
2nd Author's Affiliation National Institute of Technology, Akashi College, Japan(NIT, Akashi College)
3rd Author's Name Kenta Umebayashi
3rd Author's Affiliation Tokyo University of Agriculture and Technology(TUAT)
Date 2016-05-16
Paper # SR2016-10,SRW2016-10
Volume (vol) vol.116
Number (no) SR-29,SRW-30
Page pp.pp.35-36(SR), pp.35-36(SRW),
#Pages 2
Date of Issue 2016-05-09 (SR, SRW)